Location Selection of Electric Vehicle Charging Station Based on Improved Immune Algorithm

This paper is devoted to the location selection method for electric vehicle charging stations utilizing the improved immune algorithm. Firstly, the user satisfaction evaluation function of electric vehicles is proposed based on the satisfaction optimization theory. Then, mathematical model of users’ satisfaction is established. Based on the model, a novel optimal algorithm is designed. Because of the improvement of cross and mutation, the proposed strategy is more accurate and convergent than the conventional immune algorithm. Furthermore, the proposed algorithm is implemented based on the immune algorithm, which offers the best site selection for EVs. Finally, Jinan City was used as an example to conduct a simulation experiment.